Staff Data Analyst

Assured is on a mission to modernize insurance by providing software solutions that enhance claims processing for large insurers. As a Staff Data Analyst, you'll partner with teams to transform data into insights that drive decision-making and improve business performance.

Responsibilities:

• Design and analyze experiments, pilots, and performance evaluations that separate signal from noise and support confident decision-making
• Build dashboards and reporting that provide leaders with visibility into operational performance, customer outcomes, and organizational health
• Analyze data across multiple sources to identify patterns, emerging opportunities, risks, and areas for improvement
• Use segmentation, cohort analysis, and behavioral data to understand customers, users, or operational processes and identify opportunities to improve results
• Partner with stakeholders across departments to answer high-impact business questions, evaluate tradeoffs, and provide analytical recommendations
• Improve data quality, instrumentation, and reporting by identifying gaps in existing data collection and helping teams capture the information needed to make informed decisions
• Build confidence in business decisions by designing analyses and communicating insights that help teams understand what is working – and what isn't
• Turn data into strategic direction by uncovering trends, identifying opportunities, and providing actionable recommendations
• Create visibility into organizational performance through dashboards, reporting, and metrics that stakeholders rely on every day
• Partner with cross-functional teams to frame business problems, evaluate options, and ensure decisions are supported by data
• Develop meaningful metrics and reporting frameworks that enable teams to consistently measure success and track progress over time
• Identify opportunities to improve business processes, customer experiences, and operational efficiency through thoughtful analysis
• Bring clarity to complex problems by asking the right questions, exploring the data, and delivering insights that move the business forward

Requirements:

• Use data to drive decisions. You have a track record of solving complex business problems through thoughtful analysis and influencing decisions with data
• Have strong analytical fundamentals. SQL is a core part of your toolkit, and you're comfortable working with large datasets to uncover meaningful insights
• Think beyond reporting. You don't just build dashboards – you investigate root causes, identify opportunities, and recommend actions
• Communicate with clarity. You can explain analytical findings to both technical and non-technical audiences and help stakeholders make informed decisions
• Enjoy solving ambiguous problems. You're comfortable starting with a business question—not a predefined report—and determining what data, analyses, or metrics are needed to answer it
• Adapt quickly to new tools and technologies. You enjoy learning new platforms and approaches and focus on solving problems rather than relying on a specific technology stack
• Experience with SQL, Python, R, Tableau, Power BI, Looker, AWS, Snowflake, Databricks, or similar analytics platforms is a plus, but not required